Missed TensorFlow Dev Summit? Check out the video playlist. Watch recordings

tf.errors.OpError

TensorFlow 1 version View source on GitHub

A generic error that is raised when TensorFlow execution fails.

tf.errors.OpError(
    node_def, op, message, error_code
)

Whenever possible, the session will raise a more specific subclass of OpError from the tf.errors module.

Args:

  • node_def: The node_def_pb2.NodeDef proto representing the op that failed, if known; otherwise None.
  • op: The ops.Operation that failed, if known; otherwise None.
  • message: The message string describing the failure.
  • error_code: The error_codes_pb2.Code describing the error.

Attributes:

  • error_code: The integer error code that describes the error.
  • message: The error message that describes the error.
  • node_def: The NodeDef proto representing the op that failed.
  • op: The operation that failed, if known.

    N.B. If the failed op was synthesized at runtime, e.g. a Send or Recv op, there will be no corresponding tf.Operation object. In that case, this will return None, and you should instead use the tf.errors.OpError.node_def to discover information about the op.